Skip to content
TrustedSkillsbeta
Back to all skills

Ascend Docker

Checked
ascend-ai-coding·vlatest·cloud

Quickly deploy and manage containerized applications on Docker environments using automated workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-docker -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ascend-ai-coding

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ascend-ai-coding/awesome-ascend-skills at 62a4ecbb19.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
62a4ecbb19
Manifest
skills/base/ascend-docker/SKILL.md
Scanned
2 files, 329 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The ascend-docker skill allows AI agents to interact with and manage Docker containers. It can build Docker images from provided files, run existing container images, and execute commands within running containers. This enables automated deployment, testing, and management of applications packaged in Docker containers.

When to use it

  • Automated deployments: Deploy a new version of an application by building and running a Docker image based on updated code.
  • Testing environments: Quickly spin up isolated test environments using Docker containers with specific dependencies.
  • Remote command execution: Execute commands inside a running container for debugging or maintenance tasks.
  • Reproducible builds: Ensure consistent build processes across different environments by leveraging Docker images.

Key capabilities

  • Build Docker images from Dockerfiles
  • Run existing Docker images
  • Execute commands within running containers
  • Manage container lifecycle (start, stop)

Example prompts

  • "Build a Docker image named 'my-app' using the provided Dockerfile."
  • "Run the Docker image 'nginx:latest'."
  • "Execute 'ls -l' inside the container named 'webserver'."

Tips & gotchas

  • Ensure the AI agent has access to the necessary Dockerfiles and configuration files.
  • The skill requires a running Docker environment on the host machine.